Results 171 to 180 of about 525,837 (233)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Perspectives of Technical Assistance Providers on Nature-Based Solution Practices in North Carolina, USA. [PDF]

Environ Manage
Deviney CB, Parajuli R, Cubbage FW, Sills EO, Bardon RE, Chizmar S, McGinley K.   +6 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

RETRACTED: Wang et al. Integrated Analysis of Physiological and Transcriptional Mechanisms in Response to Drought Stress in <i>Scaevola taccada</i> Seedlings. <i>Plants</i> 2026, <i>15</i>, 970. [PDF]

Plants (Basel)
Wang Y, Liu W, Zuo C, Luo Y, Huang M.
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Publisher Correction: Deep learning enable precision authentication of seasonal and processing signatures in tieguanyin tea. [PDF]

NPJ Sci Food
Zheng C, Zhou X, Shao N, Cheng J, Xin W, Liu Y, Zhou J.   +6 more
europepmc   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

Pro-poor child nutrition gains from decentralised forest governance

Pienkowski T, Poudyal M, Clark M, Dulal B, Gautam G, Karna B, Davies Z, Andrews J, Oldekop J, Booth H, Donald B, Murray K, Poudel S, Baral S.   +13 more
europepmc   +1 more source

Genetic Evaluation and Selection of <i>Eucalyptus urophylla</i> Families and Hybrids for Cold Tolerance in Northern Guangdong, South China. [PDF]

Plants (Basel)
Zhu M, Li G, Hu Y, Hu Z, Liu Y, Wu G, Chen S, Liu Z, Xu J, Lu Z, Li G.   +10 more
europepmc   +1 more source

Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy

Advanced Science, EarlyView.
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim, Hyeondeok Shin, Kyungju Nam, Seunghyo Noh, Donghwi Kim, Yousung Jung   +5 more
wiley   +1 more source