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Currently displaying 941 - 960 of 30675 publications

Recent Lower Stratospheric Ozone Trends in CCMI-2022 Models: Role of Natural Variability and Transport

S Benito‐Barca, M Abalos, N Calvo, H Garny, T Birner, NL Abraham, H Akiyoshi, F Dennison, P Jöckel, B Josse, J Keeble, D Kinnison, M Marchand, O Morgenstern, D Plummer, E Rozanov, S Strode, T Sukhodolov, S Watanabe, Y Yamashita

Journal of Geophysical Research Atmospheres

(2025)

130

e2024JD042412

(doi: 10.1029/2024JD042412)

Identifying Split Vacancy Defects with Machine-Learned Foundation Models and Electrostatics

SR Kavanagh

(2025)

(doi: 10.48550/arxiv.2412.19330)

Lessons from Tau RT–QuIC: Structure, Kinetics, and Drug Discovery

A Santambrogio

(2025)

(doi: 10.17863/CAM.120643)

Ligands for Protein Fibrils of Amyloid-β, α-Synuclein, and Tau.

TS Chisholm, CA Hunter

Chem Rev

(2025)

125

5282

(doi: 10.1021/acs.chemrev.4c00838)

A platform for SpyCatcher conjugation to native antibodies.

S Krajcovicova, T Wharton, CL Driscoll, TA King, MR Howarth, DR Spring

Chemical science

(2025)

10602

(doi: 10.1039/d5sc02286j)

An Expanded View of RNA Modification with Carbohydrate-Based Metabolic Probes

ME Hazemi, MB Geeson, FM Müller, S Mikutis, AJ Enright, GJL Bernardes

Jacs Au

(2025)

2309

(doi: 10.1021/jacsau.5c00249)

Void growth in the lithium anode of a solid state battery

N Fleck, V Deshpande, W Zhu, A Roach, R McMeeking, C Grey

European Journal of Mechanics A Solids

(2025)

113

105710

(doi: 10.1016/j.euromechsol.2025.105710)

The thermodynamic hypothesis of protein aggregation

M Vendruscolo

Molecular Aspects of Medicine

(2025)

103

101364

(doi: 10.1016/j.mam.2025.101364)

Understanding ozone, climate and their interactions with causal machine learning

S Hickman

(2025)

(doi: 10.17863/CAM.122273)

Escherichia coli with a 57-codon genetic code

WE Robertson, FBH Rehm, M Spinck, RL Schumann, R Tian, W Liu, Y Gu, AA Kleefeldt, CF Day, KC Liu, Y Christova, JF Zürcher, FL Böge, J Birnbaum, L van Bijsterveldt, JW Chin

(2025)

(doi: 10.1101/2025.05.02.651837)

Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.

S Seal, M Mahale, M García-Ortegón, CK Joshi, L Hosseini-Gerami, A Beatson, M Greenig, M Shekhar, A Patra, C Weis, A Mehrjou, A Badré, B Paisley, R Lowe, S Singh, F Shah, B Johannesson, D Williams, D Rouquie, D-A Clevert, P Schwab, N Richmond, CA Nicolaou, RJ Gonzalez, R Naven, C Schramm, LR Vidler, K Mansouri, WP Walters, DD Wilk, O Spjuth, AE Carpenter, A Bender

Chemical Research in Toxicology

(2025)

759

(doi: 10.1021/acs.chemrestox.5c00033)

Allosteric regulation in metal-organic cages

Y Yang, Y Du, AW Heard, JR Nitschke

Nature Synthesis

(2025)

(doi: 10.1038/s44160-025-00799-3)