Results 231 to 240 of about 5,887,351 (303)

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Environmental Sustainability in Healthcare: The Major Goal of the AmbiSaúde Project. [PDF]

Port J Public Health
Chen-Xu J, Lopes S, Marques MM, Perelman J, Viegas S.   +4 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Tracking decarbonization of multilateral development banks' electricity generation investments.

Cell Rep Sustain
Egli F, Lehofer CM, Palmowski N, Büthe T, Steffen B, Schmidt TS.   +5 more
europepmc   +1 more source

Marginal effect of clean energy, nuclear energy-related R&D investment, energy security risk, and policy uncertainty on the environment in the USA. [PDF]

Sci Rep
Kartal MT, Taşkın D, Mele M, Magazzino C.   +3 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Meta-analysis on comparative impact of behavioral, information, and monetary interventions on energy-efficient appliance adoption. [PDF]

PNAS Nexus
Khanna TM, Danilenko D, Tomberg L, Hansteen S, Andor MA, Lohmann PM, Neggia LR, Minx JC.   +7 more
europepmc   +1 more source

How social is a social impact VC fund? Understanding funds’ communication strategy through text mining

, 2019
Toschi, Laura, Ughetto, Elisa, Fronzetti Colladon, A.   +2 more
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Global Renewable Energy Infrastructure Resilience Under Climate Risks. [PDF]

Risk Anal
Hong J, Chen Y, Yi W, Chi HL.
europepmc   +1 more source