Results 221 to 230 of about 155,050 (315)
Advancing forest carbon projections requires improved convergence between ecological and economic models. [PDF]
Fuller MR, Ganjam M, Baker JS, Abt RC.
europepmc +1 more source
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li +13 more
wiley +1 more source
Improving wood carbon fractions for multiscale forest carbon estimation. [PDF]
Doraisami M, Domke GM, Martin AR.
europepmc +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Overlooked branch turnover creates a widespread bias in forest carbon accounting. [PDF]
Lim H +18 more
europepmc +1 more source
We report photostable, photoluminescent deep eutectic solvents (DESs) powered by in situ‐formed zero‐dimensional (0D) halometallates. Stabilized by microenvironment‐controlling hydrogen bond acceptor (HBA) and donor (HBD) networks, these DESs exhibit vibrant, metal ion‐tunable emission (PLQY = 60.2%).
Jeesu Moon +4 more
wiley +1 more source
Environmental correlates of the forest carbon distribution in the Central Himalayas. [PDF]
Khanal S, Nolan RH, Medlyn BE, Boer MM.
europepmc +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source

