Results 131 to 140 of about 1,918,026 (260)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source
Underground Signals: The Ecological Power of Root Volatiles
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao +31 more
wiley +1 more source
Dispersion patterns of Holarctic-breeding, migrant landbirds : global paradigms or regional patterns? [PDF]
Bibliography: leaves 74-82.This study quantifies the breeding and wintering ranges, habitat occupancy, diet and foraging mode of each migrant taxon on each of the three flyways.
Hamblin, Jane V
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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 +3 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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 +8 more
wiley +1 more source
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 +12 more
wiley +1 more source
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 +3 more
wiley +1 more source
Recombination orchards facilitate superior tree genotypes crossings and improved seed production. In this study we aimed to a) investigate genetic parameters in a progeny test of Cordia trichotoma (Vell.) Arráb.
Kethlin de Carvalho Santos Romão +6 more
doaj
Minnesota Forest Scene, Issue 15 (Fall 2015)
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2015). Minnesota Forest Scene, Issue 15 (Fall 2015). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/
University of Minnesota. Department of Forest Resources
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