Results 21 to 30 of about 12,512 (179)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Fully Textured Monolithic Sb2S3/Silicon Tandem for Unbiased and Stable Solar‐Driven Water Splitting Paired with Iodide Oxidation Reaction

Advanced Science, EarlyView.
Monolithically integrated Sb2S3 on industry‐compatible textured silicon for tandem photoelectrochemical hydrogen evolution coupled with iodide oxidation. ABSTRACT Solar‐driven photoelectrochemical (PEC) production of chemical fuels such as hydrogen is a viable solution to address climate neutrality objectives.
Jihong Min, Irene Dei Tos, Sepideh Rahimisheikh, Beatriz de la Fuente, Devika Rajagopal, Jan D'Haen, David Cornil, Tom Hauffman, Tom Aernouts, David Beljonne, Joke Hadermann, Byungha Shin, Bart Vermang, Sudhanshu Shukla   +13 more
wiley   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source

Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková, Michiel van Dijk, Robert M'Barek, Hans van Meijl, Tomas Ratinger   +4 more
wiley   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

The Cost of a Nutritious Diet in Cafeterias: Evidence From US Military Dining Facilities

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Providing nutritious meals in institutional settings with financial constraints, such as military dining facilities, is challenging. The US Department of War (DoW) and US Department of Agriculture (USDA) collaborated to modernize the Basic Daily Food Allowance (BDFA) using an optimization model that incorporates service members' consumption ...
Linlin Fan, Yiwen Zhao, Andrea Carlson, Parke Wilde, Joanna Reagan, Julianna Jayne, Starr Seip, Denise Laursen, Matthew P. Rabbitt   +8 more
wiley   +1 more source

On the Economics of US Agricultural Policy

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper presents an economic analysis of US agricultural policy, building on a modified version of Gardner's efficient redistribution. We argue that agricultural policy is motivated as an attempt to implement an efficient redistribution scheme that redistributes income toward farmers who, as a group, have been adversely affected by ...
Jean‐Paul Chavas
wiley   +1 more source