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Peter Wang

Peter WangPeter Wang is a research staff scientist in the Manufacturing Systems Design Group at Oak Ridge National Laboratory (ORNL). Prior to working at ORNL, he worked in aerospace and underground construction industries for 12 years. His previous work experence has covered mechanical and civil structural design, heavy machine design, project management and construction site automation. He obtained his PhD in 2018 from the University of California, Irvine with a focus in robot kinematics. His current research interests cover robotics, manufacturing systems development, automation, additive manufacturing, and the circular economy. Read More Read Less

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1.
Endotoxins: Structure, Function and Recognition
Publisher: Springer
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AED897
Binding:
Hardback
Release:
12 Jul 2010
Language:
English
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2.
Endotoxins: Structure, Function and Recognition
Publisher: Springer
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AED897
Binding:
Paperback
Release:
05 Sep 2012
Language:
English
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3.
Reprogramming Microbial Metabolic Pathways
Publisher: Springer
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AED673
Binding:
Hardback
Release:
20 Oct 2012
Language:
English
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4.
Reprogramming Microbial Metabolic Pathways
Publisher: Springer
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AED673
Binding:
Paperback
Release:
09 Nov 2014
Language:
English
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5.
US, China and the Evolving Indo-Pacific Order
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AED489
Binding:
Hardback
Release:
11 Nov 2025
Language:
English
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6.
Nonlinear Second Order Elliptic Equations
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AED360
Binding:
Paperback
Release:
28 Apr 2025
Language:
English
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7.
The Routledge Handbook of the Belt and Road
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AED749
Binding:
Hardback
Release:
22 Dec 2025
Language:
English
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8.
Models Of Dna Sequence Evolution
Publisher: Intelliz Press
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AED345
Binding:
Hardcover
Release:
01-Jan-16
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9.
Techno Vision
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AED156
Binding:
Hardback
Release:
01 Jan 1994
Language:
English
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10.
GeoAI and Human Geography
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AED627
Binding:
Hardback
Release:
31 Jul 2025
Language:
English
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11.
Nonlinear Second Order Elliptic Equations
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AED354
Binding:
Hardback
Release:
27 Apr 2024
Language:
English
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12.
The Routledge Handbook of the Belt and Road
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AED217
Binding:
Paperback
Release:
29 Jan 2024
Language:
English
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13.
Motion and Path Planning for Additive Manufacturing
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14.
Blended Learning: Engaging Students in the New Normal Era
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