March 15, 2025

Humanities and Social Sciences

Investment

Artificial intelligence investments reduce risks to critical mineral supply

Conceptualization of the back-ended risk premium Many of the minerals considered critical for energy transition exhibit back-ended risk in project development caused by technical and non-technical risks occurring in the later stages of the project (six to eight years after the exploration starts)6,7,8. Examples of critical minerals that exhibit back-ended risk are bauxite, cobalt, lithium,

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Property

Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol+

Model backbone The designed model backbone can predict the equilibrium conformation and QC property simultaneously, denoted as \((y,\, {\hat{{\boldsymbol{r}}}})=f({{\boldsymbol{X}}},\, {{\boldsymbol{E}}},\, {{\boldsymbol{r}}};{{\boldsymbol{\theta }}})\). The model takes three inputs, (i) atom features (\({{\boldsymbol{X}}}\in {{\mathbb{R}}}^{n\times {d}_{f}}\), where n is the number of atoms and df is atom feature dimension), (ii) edge features (\({{\boldsymbol{E}}}\in {{\mathbb{R}}}^{n\times n\times {d}_{e}}\), where de

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Finance

Role of green finance in regional heterogeneous green innovation: Evidence from China

Barbieri N, Marzucchi A, Rizzo U (2020) Knowledge sources and impacts on subsequent inventions: Do green technologies differ from non-green ones? Res Policy, 49(2) Behera P, Sethi N (2022) Nexus between environment regulation, FDI, and green technology innovation in OECD countries. Environ Sci Pollut Res 29(35):52940–52953 Article  Google Scholar  Ben Arfi W, Hikkerova L, Sahut

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