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    Journal: Nat. Comput. Sci.

    Volume 4, Issue 9

    627 -- 628. Putting a spotlight on diversity, equity, and inclusion
    629 -- 632Sophia Chen. The lost data: how AI systems censor LGBTQ+ content in the name of safety
    633 -- 635Laetitia Gauvin. Gaps in gender and socioeconomic mobility disparity studies
    636 -- 637Vinod Namboodiri. Harnessing the power of emerging computational capabilities for independent mobility for persons with disabilities
    638 -- 640Elaine O. Nsoesie, Marzyeh Ghassemi. Using labels to limit AI misuse in health
    641 -- 643Siddharth Suri. Defining our future with generative AI
    644 -- 645Joaquín Barroso-Flores. Accelerating economic development in Latin America through overcoming access challenges to supercomputing infrastructure
    646 -- 653Christine Yifeng Chen, Alan Christoffels, Roger Dube, Kamuela Enos, Juan E. Gilbert, Sanmi Koyeji, Jason Leigh, Carlo Liquido, Amy McKee, Kari Noe, Tai-Quan Peng, Karaitiana Taiuru. Increasing the presence of BIPOC researchers in computational science
    654 -- 0Fernando Chirigati. Heat wave attribution assessment using deep learning
    655 -- 656Jie Hu. Deconstructing the compounds of altruism
    657 -- 658Yicheng Gao, Qi Liu 0019. Delineating cell types with transcriptional kinetics
    659 -- 676Xiaoyan Wu, Xiangjuan Ren, Chao Liu 0006, Hang Zhang 0028. The motive cocktail in altruistic behaviors
    677 -- 689Tara Chari, Gennady Gorin, Lior Pachter. Biophysically interpretable inference of cell types from multimodal sequencing data
    690 -- 705Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith 0001, Brent Doiron, Byron M. Yu. Automated customization of large-scale spiking network models to neuronal population activity
    706 -- 722Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül. Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS

    Volume 4, Issue 8

    543 -- 544. Metamaterials design via and for computation
    545 -- 548Yandong Li, Francesco Monticone. Exploring the role of metamaterials in achieving advantage in optical computing
    549 -- 552Gary P. T. Choi. Computational design of art-inspired metamaterials
    553 -- 555Keith A. Brown, Grace X. Gu. Computational challenges in additive manufacturing for metamaterials design
    556 -- 557Jie Pan. Synergy between photonic metamaterials and AI
    558 -- 0Jie Pan. Enhancing structured light with optimized metasurfaces
    559 -- 560Rui-Jie Zhu, Skye Gunasekaran, Jason Eshraghian. Bridging the gap between artificial intelligence and natural intelligence
    561 -- 562Ting Cao. Accelerating predictions of electronic transport and superconductivity
    563 -- 564. AI-recognized mitochondrial phenotype enables identification of drug targets
    565 -- 566. A machine learning tool to efficiently calculate electron-phonon coupling
    567 -- 573Qiguang He, Samuele Ferracin, Jordan R. Raney. Programmable responsive metamaterials for mechanical computing and robotics
    574 -- 583Silvia Bonfanti, Stefan Hiemer, Raja Zulkarnain, Roberto Guerra, Michael Zaiser, Stefano Zapperi. Computational design of mechanical metamaterials
    584 -- 599Linxuan He, Yunhui Xu, Weihua He, Yihan Lin, Yang Tian, Yujie Wu 0002, Wenhui Wang, Ziyang Zhang, Junwei Han, Yonghong Tian 0001, Bo Xu 0002, Guoqi Li. Network model with internal complexity bridges artificial intelligence and neuroscience
    600 -- 614Min Yu, Weiming Li, Yunru Yu, Yu Zhao, LiZhi Xiao, Volker M. Lauschke, Yiyu Cheng, Xingcai Zhang, Yi Wang. Deep learning large-scale drug discovery and repurposing
    615 -- 625Yang Zhong, Shixu Liu, Binhua Zhang, Zhiguo Tao, Yuting Sun, Weibin Chu, Xin-Gao Gong, Ji-hui Yang, Hongjun Xiang. Accelerating the calculation of electron-phonon coupling strength with machine learning

    Volume 4, Issue 7

    461 -- 0. 150 years of oxygen chemistry
    462 -- 464De-en Jiang. Computational electrochemistry of oxygen 150 years after Priestley
    465 -- 468Alexandre Hocquet, Frédéric Wieber, Gabriele Gramelsberger, Konrad Hinsen, Markus Diesmann, Fernando Pasquini Santos, Catharina Landström, Benjamin Peters, Dawid Kasprowicz, Arianna Borrelli, Phillip Roth, Clarissa Ai Ling Lee, Alin Olteanu, Stefan Böschen. Software in science is ubiquitous yet overlooked
    469 -- 472Takahiro Yabe, Massimiliano Luca, Kota Tsubouchi, Bruno Lepri, Marta C. González, Esteban Moro. Enhancing human mobility research with open and standardized datasets
    473 -- 474Jiancheng Yang. Multi-task learning for medical foundation models
    475 -- 476Miaozhe Huo, Yuepeng Jiang, Shuai Cheng Li 0001. Unlocking T-cell receptor-epitope insights with structural analysis
    477 -- 478Juan Manuel Restrepo-Flórez. Free-form metamaterials design with isotropic materials
    479 -- 480. A multi-task learning strategy to pretrain models for medical image analysis
    481 -- 482. Boosting graph neural networks with virtual nodes to predict phonon properties
    483 -- 494Steven L. Brunton, J. Nathan Kutz. Promising directions of machine learning for partial differential equations
    495 -- 509Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz 0002, Fabian Kiessling. Overcoming data scarcity in biomedical imaging with a foundational multi-task model
    510 -- 521Vadim K. Karnaukhov, Dmitrii S. Shcherbinin, Anton O. Chugunov, Dmitriy M. Chudakov, Roman G. Efremov, Ivan V. Zvyagin, Mikhail Shugay. Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen
    522 -- 531Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu 0005, Tommi S. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Yao Wang, Bolin Liao, Yongqiang Cheng 0006, Mingda Li. Virtual node graph neural network for full phonon prediction
    532 -- 541Liujun Xu, Gaole Dai, Fubao Yang, Jinrong Liu, Yuhong Zhou, Jun Wang, Guoqiang Xu, Jiping Huang, Cheng-Wei Qiu. Free-form and multi-physical metamaterials with forward conformality-assisted tracing

    Volume 4, Issue 6

    381 -- 0. An invitation to social scientists
    382 -- 383Mayank Kejriwal, Victoria Petryshyn. Advancing computational sustainability in higher education
    384 -- 387Chiheb Ben Mahmoud, John L. A. Gardner, Volker L. Deringer. Data as the next challenge in atomistic machine learning
    388 -- 390Yifan Yang, Fan Xu. Computational morphology and morphogenesis for empowering soft-matter engineering
    391 -- 392Ananya Rastogi. Integrating computational and experimental worlds
    393 -- 0Ananya Rastogi. The whole picture in digital pathology
    394 -- 395Tianyu Wang. A nonlinear dimension for machine learning in optical disordered media
    396 -- 397Enrico Trizio, Peilin Kang, Michele Parrinello. Systematic simulations and analysis of transition states using committor functions
    398 -- 411Francisco Barreras, Duncan J. Watts. The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling
    412 -- 422Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff. Linguistics-based formalization of the antibody language as a basis for antibody language models
    423 -- 428Gokul Gowri, Kuanwei Sheng, Peng Yin. Scalable design of orthogonal DNA barcode libraries
    429 -- 439Hao Wang 0025, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan. Large-scale photonic computing with nonlinear disordered media
    440 -- 450Jenna C. Fromer, Connor W. Coley. An algorithmic framework for synthetic cost-aware decision making in molecular design
    451 -- 460Peilin Kang, Enrico Trizio, Michele Parrinello. Computing the committor with the committor to study the transition state ensemble

    Volume 4, Issue 5

    311 -- 0. Accelerating scientific progress with preprints
    312 -- 313Domenic P. J. Germano, James M. Osborne. Advancements in multicellular simulations
    314 -- 315Martijn Meeter. Outsourcing eureka moments to artificial intelligence
    316 -- 317Zhi Wei 0001. Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics
    318 -- 319Matthew Holcomb, Stefano Forli. A multidimensional dataset for structure-based machine learning
    320 -- 321. Shuffling haplotypes to share reference panels for imputation
    322 -- 333Jiahao Xie, Yansong Zhou, Muhammad Faizan, Zewei Li, Tianshu Li, Yuhao Fu, Xinjiang Wang, Lijun Zhang 0017. Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
    334 -- 345Sannyuya Liu, Qing Li 0045, Xiaoxuan Shen, Jianwen Sun, Zongkai Yang. Automated discovery of symbolic laws governing skill acquisition from naturally occurring data
    346 -- 359Xuejian Cui, Xiaoyang Chen, Zhen Li, Zijing Gao, Shengquan Chen, Rui Jiang 0001. Discrete latent embedding of single-cell chromatin accessibility sequencing data for uncovering cell heterogeneity
    360 -- 366Théo Cavinato, Simone Rubinacci, Anna-Sapfo Malaspinas, Olivier Delaneau. A resampling-based approach to share reference panels
    367 -- 378Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radoslaw Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian J. Theis, Michael Sattler, Grzegorz M. Popowicz. MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery
    379 -- 0Steve Runser, Roman Vetter, Dagmar Iber. Publisher Correction: SimuCell3D: three-dimensional simulation of tissue mechanics with cell polarization

    Volume 4, Issue 4

    251 -- 252. Harnessing quantum information to advance computing
    253 -- 256Hussam Mahmoud. Leveraging epidemic network models towards wildfire resilience
    257 -- 258Valerio Capraro, Matjaz Perc. In search of the most cooperative network
    259 -- 260. Discovering metal complexes in vast chemical spaces
    261 -- 262. Annotating cell types in single-cell ATAC data via the guidance of the underlying DNA sequences
    263 -- 273Hannes Kneiding, Ainara Nova, David Balcells. Directional multiobjective optimization of metal complexes at the billion-system scale
    274 -- 284Anzhi Sheng, Qi Su, Long Wang 0001, Joshua B. Plotkin. Strategy evolution on higher-order networks
    285 -- 298Yuansong Zeng, Mai Luo, Ningyuan Shangguan, Peiyu Shi, Junxi Feng, Jin Xu, Ken Chen, Yutong Lu, Weijiang Yu, Yuedong Yang. Deciphering cell types by integrating scATAC-seq data with genome sequences
    299 -- 309Steve Runser, Roman Vetter, Dagmar Iber. SimuCell3D: three-dimensional simulation of tissue mechanics with cell polarization

    Volume 4, Issue 3

    145 -- 146. The increasing potential and challenges of digital twins
    147 -- 149Karen Willcox, Brittany Segundo. The role of computational science in digital twins
    150 -- 153Luís M. A. Bettencourt. Recent achievements and conceptual challenges for urban digital twins
    154 -- 157Peter Bauer, Torsten Hoefler, Bjorn Stevens, Wilco Hazeleger. Digital twins of Earth and the computing challenge of human interaction
    158 -- 160Jie Pan 0002. Materials informatics heralds a collaborative future
    161 -- 162Gokay Avci, Kim E. Jelfs. Enhancing discovery of host-guest binders
    163 -- 164Andreas W. Hauser. Pushing the limits of OFDFT with neural networks
    165 -- 166Hod Dana. Accelerating protein sensor optimization with machine learning
    167 -- 168. Enabling comparative gene regulatory network analysis on single-cell data with SCORPION
    169 -- 177Fei Tao, He Zhang, Chenyuan Zhang. Advancements and challenges of digital twins in industry
    178 -- 183Alberto Ferrari, Karen Willcox. Digital twins in mechanical and aerospace engineering
    184 -- 191Reinhard C. Laubenbacher, Borna Mehrad, Ilya Shmulevich, Natalia A. Trayanova. Digital twins in medicine
    192 -- 199Michael Batty. Digital twins in city planning
    200 -- 209Juan Manuel Parrilla Gutierrez, Jaroslaw M. Granda, Jean-François Ayme, Michal D. Bajczyk, Liam Wilbraham, Leroy Cronin. Electron density-based GPT for optimization and suggestion of host-guest binders
    210 -- 223He Zhang, Siyuan Liu, Jiacheng You, Chang Liu 0030, Shuxin Zheng, Ziheng Lu, Tong Wang 0014, Nanning Zheng 0001, Bin Shao. Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning
    224 -- 236Sarah J. Wait, Marc Expòsit, Sophia Lin, Michael Rappleye, Justin Daho Lee, Samuel A. Colby, Lily Torp, Anthony Asencio, Annette Smith, Michael Regnier, Farid Moussavi-Harami, David Baker, Christina K. Kim, Andre Berndt. Machine learning-guided engineering of genetically encoded fluorescent calcium indicators
    237 -- 250Daniel Osório 0004, Anna Capasso, S. Gail Eckhardt, Uma Giri, Alexander Somma, Todd M. Pitts, Christopher H. Lieu, Wells A. Messersmith, Stacey M. Bagby, Harinder Singh, Jishnu Das, Nidhi Sahni, S. Stephen Yi, Marieke L. Kuijjer. Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data

    Volume 4, Issue 2

    87 -- 88. A look into our non-primary formats
    89 -- 91Yang Cao, Alán Aspuru-Guzik. Accelerating discovery in organic redox flow batteries
    92 -- 93Joseph Bakarji. Distilling data into code
    94 -- 95Joshua Weinstein. Refining the lens of DNA microscopy
    96 -- 103Chloe Markey, Samuel Croset, Olivia Ruth Woolley, Can Martin Buldun, Christian Koch, Daniel Koller, Daniel Reker. Characterizing emerging companies in computational drug development
    104 -- 109Téo Lemane, Nolan Lezzoche, Julien Lecubin, Eric Pelletier, Magali Lescot, Rayan Chikhi, Pierre Peterlongo. Indexing and real-time user-friendly queries in terabyte-sized complex genomic datasets with kmindex and ORA
    110 -- 118Paul J. Blazek, Kesavan Venkatesh, Milo M. Lin. Automated discovery of algorithms from data
    119 -- 127Alexander M. Kloosterman, Igor Baars, Björn Högberg. An error correction strategy for image reconstruction by DNA sequencing microscopy
    128 -- 143Wenjie Sun, Meghan Perkins, Mathilde Huyghe, Marisa M. Faraldo, Silvia Fre, Leïla Perié, Anne-Marie Lyne. Extracting, filtering and simulating cellular barcodes using CellBarcode tools

    Volume 4, Issue 12

    882 -- 883Felix Wang, James B. Aimone. On the path toward brain-scale simulations
    884 -- 885Yongle Li, Yuhao Chen, Xiao He 0004. Teaching spin symmetry while learning neural network wave functions
    890 -- 898Wenlian Lu, Xin Du 0002, Jiexiang Wang, Longbin Zeng, Leijun Ye, Shitong Xiang, Qibao Zheng, Jie Zhang 0012, Ningsheng Xu, Jianfeng Feng, Yubin Bao, Boyu Chen, Siming Chen 0001, Zhongyu Chen, Fei Dai, Weiyang Ding, Xin Du 0002, Jianfeng Feng, Yubo Hou, Mingda Ji, Peng Ji, Chong Li, Chunhe Li 0001, Xiaoyi Li, Yuhao Liu, Wenlian Lu, ZhiHui Lv, Hengyuan Ma, Yang Qi, Edmund T. Rolls, He Wang 0016, Huarui Wang, Shouyan Wang, Ziyi Wang, Yunman Xia, Chao Xie, Xiangyang Xue 0001, Tianping Zeng, Chenfei Zhang, Nan Zhang, Wenyong Zhang, Yicong Zhao. Simulation and assimilation of the digital human brain
    899 -- 909Arne Schneuing, Charles Harris, Yuanqi Du, Kieran Didi, Arian Rokkum Jamasb, Ilia Igashov, Weitao Du, Carla P. Gomes, Tom L. Blundell, Pietro Lio, Max Welling, Michael M. Bronstein, Bruno E. Correia. Structure-based drug design with equivariant diffusion models
    920 -- 927Juntian Ye, Yi Sun, Wenwen Li, Jian-Wei Zeng, Yu Hong 0004, Zheng-Ping Li, Xin Huang, Xianghui Xue, Xin Yuan 0002, Feihu Xu, Xiankang Dou, Jian-Wei Pan. Real-time non-line-of-sight computational imaging using spectrum filtering and motion compensation
    928 -- 940Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu 0010, Natalia A. Trayanova, Mauro Maggioni. A scalable framework for learning the geometry-dependent solution operators of partial differential equations
    941 -- 954Jonathan Karin, Reshef Mintz, Barak Raveh, Mor Nitzan. Interpreting single-cell and spatial omics data using deep neural network training dynamics
    955 -- 977Aarthi Venkat, Samuel Leone, Scott E. Youlten, Eric Fagerberg, John Attanasio, Nikhil S. Joshi, Michael Perlmutter, Smita Krishnaswamy. Mapping the gene space at single-cell resolution with gene signal pattern analysis
    978 -- 990Mengdi Zhao, Ning Wang, Xinrui Jiang, Xiaoyang Ma, Haixin Ma, Gan He, Kai Du, Lei Ma 0008, Tiejun Huang 0003. An integrative data-driven model simulating C. elegans brain, body and environment interactions
    991 -- 0Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül. Author Correction: Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS

    Volume 4, Issue 11

    801 -- 0. Harnessing the power of DNA for computing
    802 -- 0Fernando Chirigati. Collective deliberation driven by AI
    803 -- 804Christina L. Vizcarra, Ryan F. Trainor, Ashley Ringer McDonald, Chris T. Richardson, Davit Potoyan, Jessica Nash, Britt Lundgren, Tyler Luchko, Glen M. Hocky, Jonathan J. Foley, Timothy J. Atherton, Grace Y. Stokes. An interdisciplinary effort to integrate coding into science courses
    805 -- 806Loïc Lannelongue. Modeling the increase of electronic waste due to generative AI
    807 -- 808Minghui Li. Enhancing protein stability prediction with geometric learning and pre-training strategies
    809 -- 810Orestis A. Ntintas, Theodoros Daglis, Vassilis G. Gorgoulis. Harnessing deep learning to build optimized ligands
    811 -- 812Weikang Li, Dong-Ling Deng. Extracting reliable quantum outputs for noisy devices
    813 -- 817Daniella Bar-Lev, Omer Sabary, Eitan Yaakobi. The zettabyte era is in our DNA
    818 -- 823Peng Wang, Ling-Yu Zhang, Asaf Tzachor, Wei-qiang Chen. E-waste challenges of generative artificial intelligence
    824 -- 828Nessim Raouraoua, Claudio Mirabello, Thibaut Véry, Christophe Blanchet, Björn Wallner, Marc F. Lensink, Guillaume Brysbaert. MassiveFold: unveiling AlphaFold's hidden potential with optimized and parallelized massive sampling
    829 -- 839Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li 0006, James J. Collins. Deep generative design of RNA aptamers using structural predictions
    840 -- 850Yunxin Xu, Di Liu, Haipeng Gong. Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy
    851 -- 864Pengyong Li, Kaihao Zhang, Tianxiao Liu, Ruiqiang Lu, Yangyang Chen 0006, Xiaojun Yao, Lin Gao, Xiangxiang Zeng. A deep learning approach for rational ligand generation with toxicity control via reactive building blocks
    865 -- 875Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz, Matthis Lehmkuehler, Stefan Woerner. Provable bounds for noise-free expectation values computed from noisy samples
    876 -- 0He Li, Zun Wang, Nianlong Zou, Meng Ye 0014, Runzhang Xu, Xiaoxun Gong, Wenhui Duan, Yong Xu. Author Correction: Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation
    877 -- 0Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji. Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics

    Volume 4, Issue 10

    723 -- 0. Fostering discussions on topical issues
    724 -- 0Kaitlin McCardle. Efficient simulations of electronic spectra
    725 -- 726Stefan Peidli. The decomposition of perturbation modeling
    727 -- 728Zachary Fralish, Daniel Reker. Taking a deep dive with active learning for drug discovery
    729 -- 730Attila Cangi. Bridging the gap in electronic structure calculations via machine learning
    731 -- 732Adrian Pacheco-Pozo, Diego Krapf. Effectively detecting anomalous diffusion via deep learning
    733 -- 734. Joint inference of discrete and continuous factors captures variability across and within cell types
    735 -- 743Guy Durant, Fergus Boyles, Kristian Birchall, Charlotte M. Deane. The future of machine learning for small-molecule drug discovery will be driven by data
    744 -- 751Christian Gaser, Polona Kalc, James H. Cole. A perspective on brain-age estimation and its clinical promise
    752 -- 760Xiaoxun Gong, Steven G. Louie, Wenhui Duan, Yong Xu. Generalizing deep learning electronic structure calculation to the plane-wave basis
    761 -- 772Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji. Reliable deep learning in anomalous diffusion against out-of-distribution dynamics
    773 -- 785Yicheng Gao, Zhiting Wei, Kejing Dong, Ke Chen, Jingya Yang, Guohui Chuai, Qi Liu 0019. Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond
    786 -- 796Derek van Tilborg, Francesca Grisoni. Traversing chemical space with active deep learning for low-data drug discovery
    797 -- 0Christian Gaser, Polona Kalc, James H. Cole. Publisher Correction: A perspective on brain-age estimation and its clinical promise
    798 -- 0Christine Yifeng Chen, Alan Christoffels, Roger Dube, Kamuela Enos, Juan E. Gilbert, Sanmi Koyejo, Jason Leigh, Carlo Liquido, Amy McKee, Kari Noe, Tai-Quan Peng, Karaitiana Taiuru. Publisher Correction: Increasing the presence of BIPOC researchers in computational science
    799 -- 0Yeganeh M. Marghi, Rohan Gala, Fahimeh Baftizadeh, Uygar Sümbül. Publisher Correction: Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS

    Volume 4, Issue 1

    1 -- 0. Cover runners-up of 2023
    2 -- 3Alexis Palmer, Noah A. Smith, Arthur Spirling. Using proprietary language models in academic research requires explicit justification
    4 -- 0Fernando Chirigati. Mining the chemical space for new antibiotics
    5 -- 6Daniel T. O'Brien. Disentangling truth from bias in naturally occurring data
    7 -- 8. A transformer method that predicts human lives from sequences of life events
    9 -- 10. Learning physical laws from observations of complex dynamics
    11 -- 18Roger G. Melko, Juan Carrasquilla. Language models for quantum simulation
    19 -- 28Zachary Friedenberger, Richard Naud. Dendritic excitability controls overdispersion
    29 -- 42Junbo Shen, Qinze Yu, Shenyang Chen, Qingxiong Tan, Jingchen Li, Yu Li 0006. Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
    43 -- 56Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann. Using sequences of life-events to predict human lives
    57 -- 65Zhi Liu, Uma Bhandaram, Nikhil Garg 0001. Quantifying spatial under-reporting disparities in resident crowdsourcing
    66 -- 85Xiaoli Chen, Beatrice W. Soh, Zi-En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li. Constructing custom thermodynamics using deep learning
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